Artificial Intelligence for Retail Global and China Top Players Market

Artificial Intelligence for Retail - Global and China Top Players Market Share and Ranking 2023

Artificial Intelligence for Retail Global and China Top Players Market

Artificial Intelligence for Retail - Global and China Top Players Market Share and Ranking 2023

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According to Market IntelliX Research, the global market for Artificial Intelligence for Retail should grow from US$ million in 2024 to US$ million by 2030, with a CAGR of % for the period of 2024-2030.

By country, China accounted for percent of the global market last year and China’s market share increased from percent to percent. China Artificial Intelligence for Retail market should grow from US$ million in 2024 to US$ million by 2030, with a CAGR of % for the period of 2024-2030. The United States Artificial Intelligence for Retail market should grow from US$ million in 2024 to US$ million by 2030, with a CAGR of % for the period of 2024-2030.

By segment, SMEs grew percent to account for percent of the total market sales, and Large Enterprise grew percent.

This report studies and analyses global Artificial Intelligence for Retail status and future trends, to help determine the Artificial Intelligence for Retail market size of the total market opportunity by Type, by Application, by company, and by region & country. This report is a detailed and comprehensive analysis of the world market for Artificial Intelligence for Retail, and provides market size (US$ million) and Year-over-Year growth, considering 2024 as the base year.

For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.

To assess the competitive environment within the market including supplier revenue, market share, and company profiles.

Highlights

(1) Global Artificial Intelligence for Retail market size, history data 2019-2024, and forecast data 2024-2030, (US$ million)

(2) Global Artificial Intelligence for Retail by company, revenue, market share and industry ranking 2019-2024, (US$ million)

(3) China Artificial Intelligence for Retail by company, revenue, market share and industry ranking 2019-2024, (US$ million)

(4) Global Artificial Intelligence for Retail key consuming regions, consumption value and demand structure

(5) Artificial Intelligence for Retail industry chains, upstream, midstream and downstream

Market segment by players, this report covers

Intel

Hitachi Solutions

Accenture

DataRobot

Alibaba Cloud

Microsoft AI

Fujitsu

AWS

Huawei

Oracle

Google Cloud

Haystream

Habana

IBM

SymphonyAI

NVIDIA

SAP Industry

Salesforce Inc.

Market segment by Type, covers

Cloud-based

On-Premises

Market segment by Application, can be divided into

SMEs

Large Enterprise

Market segment by regions, regional analysis covers

North America (United States, Canada, and Mexico)

Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia, and Rest of Asia-Pacific)

South America (Brazil, Rest of South America)

Middle East & Africa

Report Includes:

Chapter 1: to describe Artificial Intelligence for Retail product scope, global consumption value, China consumption value, development opportunities, challenges, trends, and policies.

Chapter 2: Global Artificial Intelligence for Retail market share and ranking of major manufacturers, revenue, 2019-2024

Chapter 3: China Artificial Intelligence for Retail market share and ranking of major manufacturers, revenue, 2019-2024

Chapter 4: Artificial Intelligence for Retail industry chain, upstream, medium-stream, and downstream.

Chapter 5: Segment by Type, consumption value, percent & CAGR, 2019-2030

Chapter 6: Segment by Application, consumption value, percent & CAGR, 2019-2030

Chapter 7: Segment in regional level, consumption value, percent & CAGR, 2019-2030

Chapter 8: Segment in country level, consumption value, percent & CAGR, 2019-2030

Chapter 9: Company profile, introducing the basic situation of the main companies in the market in detail, including product specifications, application, recent development, revenue, gross margin.

Chapter 10: Conclusions

1 Market Overview

1.1 Artificial Intelligence for Retail Definition

1.2 Global Artificial Intelligence for Retail Market Size and Forecast

1.3 China Artificial Intelligence for Retail Market Size and Forecast

1.4 China Percentage in Global Market

1.5 Artificial Intelligence for Retail Market Size: China VS Global Growth Rate, 2019-2030

1.6 Artificial Intelligence for Retail Market Dynamics

1.6.1 Artificial Intelligence for Retail Market Drivers

1.6.2 Artificial Intelligence for Retail Market Restraints

1.6.3 Artificial Intelligence for Retail Industry Trends

1.6.4 Artificial Intelligence for Retail Industry Policy

2 Global Leading Players and Market Share

2.1 By Revenue of Artificial Intelligence for Retail, Global Market Share by Company, 2019-2024

2.2 Global Artificial Intelligence for Retail Participants, Market Position (Tier 1, Tier 2, and Tier 3)

2.3 Global Artificial Intelligence for Retail Concentration Ratio

2.4 Global Artificial Intelligence for Retail Mergers & Acquisitions, Expansion Plans

2.5 Global Artificial Intelligence for Retail Major Companies Product Type

2.6 Head Office and Artificial Intelligence for Retail Production Site of Key Manufacturer

3 China Leading Players, Market Share and Ranking

3.1 By Revenue of Artificial Intelligence for Retail, China Market Share by Company, 2019-2024

3.2 China Artificial Intelligence for Retail Participants, Market Position (Tier 1, Tier 2, and Tier 3)

4 Industry Chain Analysis

4.1 Artificial Intelligence for Retail Industry Chain

4.2 Artificial Intelligence for Retail Upstream Analysis

4.2.1 Artificial Intelligence for Retail Core Raw Materials

4.2.2 Main Manufacturers of Artificial Intelligence for Retail Core Raw Materials

4.3 Midstream Analysis

4.4 Downstream Analysis

4.5 Artificial Intelligence for Retail Production Mode

4.6 Artificial Intelligence for Retail Procurement Model

4.7 Artificial Intelligence for Retail Industry Sales Model and Sales Channels

4.7.1 Artificial Intelligence for Retail Sales Model

4.7.2 Artificial Intelligence for Retail Typical Distributors

5 Sights by Type

5.1 Artificial Intelligence for Retail Classification

5.1.1 Cloud-based

5.1.2 On-Premises

5.2 By Type, Global Artificial Intelligence for Retail Consumption Value & CAGR, 2019 VS 2024 VS 2030

5.3 By Type, Global Artificial Intelligence for Retail Consumption Value, 2019-2030

6 Sights by Application

6.1 Artificial Intelligence for Retail Segment by Application

6.1.1 SMEs

6.1.2 Large Enterprise

6.2 By Application, Global Artificial Intelligence for Retail Consumption Value & CAGR, 2019 VS 2024 VS 2030

6.3 By Application, Global Artificial Intelligence for Retail Consumption Value, 2019-2030

7 Sales Sights by Region

7.1 By Region, Global Artificial Intelligence for Retail Consumption Value, 2019 VS 2024 VS 2030

7.2 By Region, Global Artificial Intelligence for Retail Consumption Value, 2019-2030

7.3 North America

7.3.1 North America Artificial Intelligence for Retail & Forecasts, 2019-2030

7.3.2 By Country, North America Artificial Intelligence for Retail Market Size Market Share

7.4 Europe

7.4.1 Europe Artificial Intelligence for Retail Market Size & Forecasts, 2019-2030

7.4.2 By Country, Europe Artificial Intelligence for Retail Market Size Market Share

7.5 Asia Pacific

7.5.1 Asia Pacific Artificial Intelligence for Retail Market Size & Forecasts, 2019-2030

7.5.2 By Country/Region, Asia Pacific Artificial Intelligence for Retail Market Size Market Share

7.6 South America

7.6.1 South America Artificial Intelligence for Retail Market Size & Forecasts, 2019-2030

7.6.2 By Country, South America Artificial Intelligence for Retail Market Size Market Share

7.7 Middle East & Africa

8 Sales Sights by Country Level

8.1 By Country, Global Artificial Intelligence for Retail Market Size & CAGR, 2019 VS 2024 VS 2030

8.2 By Country, Global Artificial Intelligence for Retail Consumption Value, 2019-2030

8.3 U.S.

8.3.1 U.S. Artificial Intelligence for Retail Market Size, 2019-2030

8.3.2 By Type, U.S. Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.3.3 By Application, U.S. Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.4 Europe

8.4.1 Europe Artificial Intelligence for Retail Market Size, 2019-2030

8.4.2 By Type, Europe Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.4.3 By Application, Europe Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.5 China

8.5.1 China Artificial Intelligence for Retail Market Size, 2019-2030

8.5.2 By Type, China Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.5.3 By Application, China Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.6 Japan

8.6.1 Japan Artificial Intelligence for Retail Market Size, 2019-2030

8.6.2 By Type, Japan Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.6.3 By Application, Japan Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.7 South Korea

8.7.1 South Korea Artificial Intelligence for Retail Market Size, 2019-2030

8.7.2 By Type, South Korea Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.7.3 By Application, South Korea Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.8 Southeast Asia

8.8.1 Southeast Asia Artificial Intelligence for Retail Market Size, 2019-2030

8.8.2 By Type, Southeast Asia Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.8.3 By Application, Southeast Asia Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.9 India

8.9.1 India Artificial Intelligence for Retail Market Size, 2019-2030

8.9.2 By Type, India Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.9.3 By Application, India Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.10 Middle East & Africa

8.10.1 Middle East & Africa Artificial Intelligence for Retail Market Size, 2019-2030

8.10.2 By Type, Middle East & Africa Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

8.10.3 By Application, Middle East & Africa Artificial Intelligence for Retail Consumption Value Market Share, 2024 VS 2030

9 Company Profile

9.1 Intel

9.1.1 Intel Company Information, Head Office, Market Area and Industry Position

9.1.2 Intel Company Profile and Main Business

9.1.3 Intel Artificial Intelligence for Retail Models, Specifications and Application

9.1.4 Intel Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.1.5 Intel Recent Developments

9.2 Hitachi Solutions

9.2.1 Hitachi Solutions Company Information, Head Office, Market Area and Industry Position

9.2.2 Hitachi Solutions Company Profile and Main Business

9.2.3 Hitachi Solutions Artificial Intelligence for Retail Models, Specifications and Application

9.2.4 Hitachi Solutions Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.2.5 Hitachi Solutions Recent Developments

9.3 Accenture

9.3.1 Accenture Company Information, Head Office, Market Area and Industry Position

9.3.2 Accenture Company Profile and Main Business

9.3.3 Accenture Artificial Intelligence for Retail Models, Specifications and Application

9.3.4 Accenture Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.3.5 Accenture Recent Developments

9.4 DataRobot

9.4.1 DataRobot Company Information, Head Office, Market Area and Industry Position

9.4.2 DataRobot Company Profile and Main Business

9.4.3 DataRobot Artificial Intelligence for Retail Models, Specifications and Application

9.4.4 DataRobot Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.4.5 DataRobot Recent Developments

9.5 Alibaba Cloud

9.5.1 Alibaba Cloud Company Information, Head Office, Market Area and Industry Position

9.5.2 Alibaba Cloud Company Profile and Main Business

9.5.3 Alibaba Cloud Artificial Intelligence for Retail Models, Specifications and Application

9.5.4 Alibaba Cloud Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.5.5 Alibaba Cloud Recent Developments

9.6 Microsoft AI

9.6.1 Microsoft AI Company Information, Head Office, Market Area and Industry Position

9.6.2 Microsoft AI Company Profile and Main Business

9.6.3 Microsoft AI Artificial Intelligence for Retail Models, Specifications and Application

9.6.4 Microsoft AI Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.6.5 Microsoft AI Recent Developments

9.7 Fujitsu

9.7.1 Fujitsu Company Information, Head Office, Market Area and Industry Position

9.7.2 Fujitsu Company Profile and Main Business

9.7.3 Fujitsu Artificial Intelligence for Retail Models, Specifications and Application

9.7.4 Fujitsu Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.7.5 Fujitsu Recent Developments

9.8 AWS

9.8.1 AWS Company Information, Head Office, Market Area and Industry Position

9.8.2 AWS Company Profile and Main Business

9.8.3 AWS Artificial Intelligence for Retail Models, Specifications and Application

9.8.4 AWS Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.8.5 AWS Recent Developments

9.9 Huawei

9.9.1 Huawei Company Information, Head Office, Market Area and Industry Position

9.9.2 Huawei Company Profile and Main Business

9.9.3 Huawei Artificial Intelligence for Retail Models, Specifications and Application

9.9.4 Huawei Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.9.5 Huawei Recent Developments

9.10 Oracle

9.10.1 Oracle Company Information, Head Office, Market Area and Industry Position

9.10.2 Oracle Company Profile and Main Business

9.10.3 Oracle Artificial Intelligence for Retail Models, Specifications and Application

9.10.4 Oracle Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.10.5 Oracle Recent Developments

9.11 Google Cloud

9.11.1 Google Cloud Company Information, Head Office, Market Area and Industry Position

9.11.2 Google Cloud Company Profile and Main Business

9.11.3 Google Cloud Artificial Intelligence for Retail Models, Specifications and Application

9.11.4 Google Cloud Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.11.5 Google Cloud Recent Developments

9.12 Haystream

9.12.1 Haystream Company Information, Head Office, Market Area and Industry Position

9.12.2 Haystream Company Profile and Main Business

9.12.3 Haystream Artificial Intelligence for Retail Models, Specifications and Application

9.12.4 Haystream Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.12.5 Haystream Recent Developments

9.13 Habana

9.13.1 Habana Company Information, Head Office, Market Area and Industry Position

9.13.2 Habana Company Profile and Main Business

9.13.3 Habana Artificial Intelligence for Retail Models, Specifications and Application

9.13.4 Habana Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.13.5 Habana Recent Developments

9.14 IBM

9.14.1 IBM Company Information, Head Office, Market Area and Industry Position

9.14.2 IBM Company Profile and Main Business

9.14.3 IBM Artificial Intelligence for Retail Models, Specifications and Application

9.14.4 IBM Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.14.5 IBM Recent Developments

9.15 SymphonyAI

9.15.1 SymphonyAI Company Information, Head Office, Market Area and Industry Position

9.15.2 SymphonyAI Company Profile and Main Business

9.15.3 SymphonyAI Artificial Intelligence for Retail Models, Specifications and Application

9.15.4 SymphonyAI Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.15.5 SymphonyAI Recent Developments

9.16 NVIDIA

9.16.1 NVIDIA Company Information, Head Office, Market Area and Industry Position

9.16.2 NVIDIA Company Profile and Main Business

9.16.3 NVIDIA Artificial Intelligence for Retail Models, Specifications and Application

9.16.4 NVIDIA Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.16.5 NVIDIA Recent Developments

9.17 SAP Industry

9.17.1 SAP Industry Company Information, Head Office, Market Area and Industry Position

9.17.2 SAP Industry Company Profile and Main Business

9.17.3 SAP Industry Artificial Intelligence for Retail Models, Specifications and Application

9.17.4 SAP Industry Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.17.5 SAP Industry Recent Developments

9.18 Salesforce Inc.

9.18.1 Salesforce Inc. Company Information, Head Office, Market Area and Industry Position

9.18.2 Salesforce Inc. Company Profile and Main Business

9.18.3 Salesforce Inc. Artificial Intelligence for Retail Models, Specifications and Application

9.18.4 Salesforce Inc. Artificial Intelligence for Retail Revenue and Gross Margin, 2019-2024

9.18.5 Salesforce Inc. Recent Developments

10 Conclusion

11 Appendix

11.1 Research Methodology

11.2 Data Source

11.2.1 Secondary Sources

11.2.2 Primary Sources

11.3 Market Estimation Model

11.4 Disclaimer

Tables & Figures:
Show more
Research Methodology:
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.
Artificial Intelligence for Retail Market Size Estimation

To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.

Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.

Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.

We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.

Data Source

Secondary Sources

This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.

These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.

Market Size
  • Segmental value
  • Geographic Penetration
  • Product Adoption Rate for Different market
  • Journals, Websites, and Press Releases
  • Annual Reports and SEC Filings
  • Company Websites and Press Releases
  • Public and Paid Databases
  • Market Intellix Data Repository
Market Position of Top Company
  • Product Financials
  • Geographic value Mix
  • Total Company value
  • Business/Segmental value Mix
Qualitative Analysis
  • Influence Factors
  • Market Potential
  • Market Risks and Opportunities
  • Industry Trends
  • Geographical Features
  • Government Policies
  • Company Websites and Press Releases
  • Public and Paid Databases
  • Annual Reports
  • Industry Associations
  • Market Intellix Data Repository

Primary Sources

As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.

On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.

These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.

Key Data Information from Primary Sources

Primary Sources Parameters Key Data
Market Segments(by Application, by Type)
  • Value by Type
  • Status and Forecast
  • Value by Application
  • Value by Regions, Status and Forecast (2025-2031)
  • Value Market Share by Type
  • Value Growth Rate by Type
  • Value by Application
  • Percentage and Growth Rate by Application
  • Value Growth Rate and Market Share by Regions
  • Market Size Status and Forecast (2025-2031)
Total Market
  • Overall Size, Status and Forecast
  • Market Size Status and Forecast (2025-2031)
Frequently asked questions(FAQ's):
Why is the Artificial Intelligence for Retail Market trending toward high growth trajectories?
A dynamic process in the Artificial Intelligence for Retail Market is initiated by new entrants, including competitors from unrelated industries, in addition to the established players like IBM, Amazon Web Services, Microsoft, Google, Salesforce, Oracle.
What is the Artificial Intelligence for Retail Market really preparing for?
Companies in the Artificial Intelligence for Retail Industry will need to adapt swiftly to the behavioral changes that are reshaping consumer decision journeys.
What are the major applications for Artificial Intelligence for Retail ?
Artificial Intelligence for Retail has a wide range of applications, including and others.
What is the current state of the Artificial Intelligence for Retail Industry, and what is the projected growth trajectory through 2030?
In 2024, the Artificial Intelligence for Retail Market share surpassed USD xx million, and between 2025 and 2030, it will grow at a CAGR of yy%.
What is Artificial Intelligence for Retail Market Concentration Rate?
In addition to the Artificial Intelligence for Retail Market share analysis by competitors, the report also includes chapters on the HHI Index, CR4, and CR8 to characterize the concentration rate and competitive character of the Artificial Intelligence for Retail Market.
What does the future hold for the Artificial Intelligence for Retail Industry?
This latest research publication on the Artificial Intelligence for Retail Market is an in-depth market tracker that provides a comprehensive assessment of the challenges that manufacturers face in achieving new growth cycles in the current scenario.